» Articles » PMID: 24244884

OpenSlide: A Vendor-neutral Software Foundation for Digital Pathology

Overview
Journal J Pathol Inform
Date 2013 Nov 19
PMID 24244884
Citations 187
Authors
Affiliations
Soon will be listed here.
Abstract

Although widely touted as a replacement for glass slides and microscopes in pathology, digital slides present major challenges in data storage, transmission, processing and interoperability. Since no universal data format is in widespread use for these images today, each vendor defines its own proprietary data formats, analysis tools, viewers and software libraries. This creates issues not only for pathologists, but also for interoperability. In this paper, we present the design and implementation of OpenSlide, a vendor-neutral C library for reading and manipulating digital slides of diverse vendor formats. The library is extensible and easily interfaced to various programming languages. An application written to the OpenSlide interface can transparently handle multiple vendor formats. OpenSlide is in use today by many academic and industrial organizations world-wide, including many research sites in the United States that are funded by the National Institutes of Health.

Citing Articles

Applying the FAIR Principles to computational workflows.

Wilkinson S, Aloqalaa M, Belhajjame K, Crusoe M, de Paula Kinoshita B, Gadelha L Sci Data. 2025; 12(1):328.

PMID: 39994238 PMC: 11850811. DOI: 10.1038/s41597-025-04451-9.


An update on applications of digital pathology: primary diagnosis; telepathology, education and research.

Zia S, Yildiz-Aktas I, Zia F, Parwani A Diagn Pathol. 2025; 20(1):17.

PMID: 39940046 PMC: 11817092. DOI: 10.1186/s13000-025-01610-9.


Iris: A Next Generation Digital Pathology Rendering Engine.

Landvater R, Balis U J Pathol Inform. 2025; 16():100414.

PMID: 39830734 PMC: 11742306. DOI: 10.1016/j.jpi.2024.100414.


Out-of-distribution generalization for segmentation of lymph node metastasis in breast cancer.

Varnava Y, Jakate K, Garnett R, Androutsos D, Tyrrell P, Khademi A Sci Rep. 2025; 15(1):1127.

PMID: 39775089 PMC: 11707152. DOI: 10.1038/s41598-024-80495-y.


Weakly supervised deep learning-based classification for histopathology of gliomas: a single center experience.

Zuo M, Xing X, Zheng L, Wang H, Yuan Y, Chen S Sci Rep. 2025; 15(1):265.

PMID: 39748069 PMC: 11696167. DOI: 10.1038/s41598-024-84238-x.


References
1.
Crowley R, Legowski E, Medvedeva O, Tseytlin E, Roh E, Jukic D . Evaluation of an intelligent tutoring system in pathology: effects of external representation on performance gains, metacognition, and acceptance. J Am Med Inform Assoc. 2007; 14(2):182-90. PMC: 2213473. DOI: 10.1197/jamia.M2241. View

2.
Singh R, Chubb L, Pantanowitz L, Parwani A . Standardization in digital pathology: Supplement 145 of the DICOM standards. J Pathol Inform. 2011; 2:23. PMC: 3097525. DOI: 10.4103/2153-3539.80719. View

3.
Wang F, Oh T, Vergara-Niedermayr C, Kurc T, Saltz J . Managing and Querying Whole Slide Images. Proc SPIE Int Soc Opt Eng. 2012; 8319. PMC: 3405921. DOI: 10.1117/12.912388. View